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deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence

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MIT

Lex Fridman

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Core concepts behind neural networks and deep learning

Michael Nielsen

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deeplearning.ai

Andrew Ng

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high-level neural networks API, running on top of TensorFlow, CNTK, or Theano

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Minimizing the cost function to train deep neural networks

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Variety of resources and pointers to information about Deep Learning

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How To?s, reviews of software libraries, applications, interviews

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defines the output of that node, or "neuron," given an input or set of inputs, it maps the resulting values into the desired range such as between 0 to 1 or -1 to 1

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guests, experts

NVIDIA

Artificial Intelligence Machine Learning

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open-ended machine learning research

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Torch, CUDA

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threshold logic

Warren McCulloch

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Human-centered AI and autonomous vehicles

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MIT

Machine Learning Artificial Intelligence

Education

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

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MIT

Ian Goodfellow Yoshua Bengio Aaron Courville

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Javascript library for training Deep Learning models (Neural Networks) entirely in your browser

Stanford University

Andrej Karpathy

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educational visualization

Daniel Smilkov Shan Carter

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Software

Application

Software

Neural networks as a series of computational steps via a directed graph

Education

Online Course

the foundations of deep learning

deeplearning.ai

Andrew Ng

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Natural Language Processing

Education

Online Course

Forum, wiki, advices, courses

Javascript library for training Deep Learning models (Neural Networks) entirely in your browser

educational visualization

Variety of resources and pointers to information about Deep Learning

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Natural Language Processing

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high-level neural networks API, running on top of TensorFlow, CNTK, or Theano

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*
*

Torch, CUDA

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*
*

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*
*

Neural networks as a series of computational steps via a directed graph

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*
*

How To?s, reviews of software libraries, applications, interviews

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*

deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence

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*

the foundations of deep learning

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*
*

Forum, wiki, advices, courses

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*
*

Core concepts behind neural networks and deep learning

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*
*

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

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*
*

Minimizing the cost function to train deep neural networks

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*
*

Variety of resources and pointers to information about Deep Learning

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*
*

defines the output of that node, or "neuron," given an input or set of inputs, it maps the resulting values into the desired range such as between 0 to 1 or -1 to 1

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*
*

guests, experts

*Upvote*
*
*

Natural Language Processing

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*
*

high-level neural networks API, running on top of TensorFlow, CNTK, or Theano

*Upvote*
*
*

Torch, CUDA

*Upvote*
*
*

Javascript library for training Deep Learning models (Neural Networks) entirely in your browser

*Upvote*
*
*

educational visualization

*Upvote*
*
*

*Upvote*
*
*

Neural networks as a series of computational steps via a directed graph

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*
*

deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence

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*
*

Core concepts behind neural networks and deep learning

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*
*

Specializations

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*
*

How To?s, reviews of software libraries, applications, interviews

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*

threshold logic

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*

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

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*
*

the foundations of deep learning

*Upvote*
*
*

Forum, wiki, advices, courses

*Upvote*
*
*